# The Time Series Modeling Companion to 'healthyR'

## Documentation for package ‘healthyR.ts’ version 0.3.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

auto_stationarize | Automatically Stationarize Time Series Data
calibrate_and_plot | Helper function - Calibrate and Plot
ci_hi | Confidence Interval Generic
ci_lo | Confidence Interval Generic
color_blind | Provide Colorblind Compliant Colors
internal_ts_backward_event_tbl | Event Analysis
internal_ts_both_event_tbl | Event Analysis
internal_ts_forward_event_tbl | Event Analysis
model_extraction_helper | Model Method Extraction Helper
step_ts_acceleration | Recipes Time Series Acceleration Generator
step_ts_velocity | Recipes Time Series velocity Generator
tidy_fft | Tidy Style FFT
ts_acceleration_augment | Augment Function Acceleration
ts_acceleration_vec | Vector Function Time Series Acceleration
ts_adf_test | Augmented Dickey-Fuller Test for Time Series Stationarity
ts_arima_simulator | Simulate ARIMA Model
ts_auto_arima | Boilerplate Workflow
ts_auto_arima_xgboost | Boilerplate Workflow
ts_auto_croston | Boilerplate Workflow
ts_auto_exp_smoothing | Boilerplate Workflow
ts_auto_glmnet | Boilerplate Workflow
ts_auto_lm | Boilerplate Workflow
ts_auto_mars | Boilerplate Workflow
ts_auto_nnetar | Boilerplate Workflow
ts_auto_prophet_boost | Boilerplate Workflow
ts_auto_prophet_reg | Boilerplate Workflow
ts_auto_recipe | Build a Time Series Recipe
ts_auto_smooth_es | Boilerplate Workflow
ts_auto_svm_poly | Boilerplate Workflow
ts_auto_svm_rbf | Boilerplate Workflow
ts_auto_theta | Boilerplate Workflow
ts_auto_xgboost | Boilerplate Workflow
ts_brownian_motion | Brownian Motion
ts_brownian_motion_augment | Brownian Motion
ts_brownian_motion_plot | Auto-Plot a Geometric/Brownian Motion Augment
ts_calendar_heatmap_plot | Time Series Calendar Heatmap
ts_compare_data | Compare data over time periods
ts_event_analysis_plot | Time Series Event Analysis Plot
ts_extract_auto_fitted_workflow | Extract Boilerplate Items
ts_feature_cluster | Time Series Feature Clustering
ts_feature_cluster_plot | Time Series Feature Clustering
ts_forecast_simulator | Time-series Forecasting Simulator
ts_geometric_brownian_motion | Geometric Brownian Motion
ts_geometric_brownian_motion_augment | Geometric Brownian Motion
ts_get_date_columns | Get date or datetime variables (column names)
ts_growth_rate_augment | Augment Data with Time Series Growth Rates
ts_growth_rate_vec | Vector Function Time Series Growth Rate
ts_info_tbl | Get Time Series Information
ts_is_date_class | Check if an object is a date class
ts_lag_correlation | Time Series Lag Correlation Analysis
ts_ma_plot | Time Series Moving Average Plot
ts_model_auto_tune | Time Series Model Tuner
ts_model_compare | Compare Two Time Series Models
ts_model_rank_tbl | Model Rank
ts_model_spec_tune_template | Time Series Model Spec Template
ts_qc_run_chart | Quality Control Run Chart
ts_qq_plot | Time Series Model QQ Plot
ts_random_walk | Random Walk Function
ts_random_walk_ggplot_layers | Get Random Walk 'ggplot2' layers
ts_random_walk_plot | Auto-Plot a Random Walk
ts_scale_color_colorblind | Provide Colorblind Compliant Colors
ts_scale_fill_colorblind | Provide Colorblind Compliant Colors
ts_scedacity_scatter_plot | Time Series Model Scedacity Plot
ts_sma_plot | Simple Moving Average Plot
ts_splits_plot | Time Series Splits Plot
ts_time_event_analysis_tbl | Event Analysis
ts_to_tbl | Coerce a time-series object to a tibble
ts_velocity_augment | Augment Function Velocity
ts_velocity_vec | Vector Function Time Series Acceleration
ts_vva_plot | Time Series Value, Velocity and Acceleration Plot
ts_wfs_arima_boost | Auto Arima XGBoost Workflowset Function
ts_wfs_auto_arima | Auto Arima (Forecast auto_arima) Workflowset Function
ts_wfs_ets_reg | Auto ETS Workflowset Function
ts_wfs_lin_reg | Auto Linear Regression Workflowset Function
ts_wfs_mars | Auto MARS (Earth) Workflowset Function
ts_wfs_nnetar_reg | Auto NNETAR Workflowset Function
ts_wfs_prophet_reg | Auto PROPHET Regression Workflowset Function
ts_wfs_svm_poly | Auto SVM Poly (Kernlab) Workflowset Function
ts_wfs_svm_rbf | Auto SVM RBF (Kernlab) Workflowset Function
ts_wfs_xgboost | Auto XGBoost (XGBoost) Workflowset Function
util_difflog_ts | Differencing with Log Transformation to Make Time Series Stationary
util_doubledifflog_ts | Double Differencing with Log Transformation to Make Time Series Stationary
util_doublediff_ts | Double Differencing to Make Time Series Stationary
util_log_ts | Logarithmic Transformation to Make Time Series Stationary
util_singlediff_ts | Single Differencing to Make Time Series Stationary